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* Delete QuiverHouseDataDownloader.cs
* Delete QuiverSenateDataDownloader.cs
* Delete QuiverPoliticalBetaDataDownloader.cs
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* Delete QuiverSenate.cs
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* Addresses self review: Cleans up code and adds new unit tests
* Adds Quiver* C# files to project
* Adds new unit test for QuiverCongress
* Adds Python algorithm example
* Address self reviews
- Adding some missing xml docs
- Removing unrequired imports.
- Minor rename from Date to ReportDate
- Live trading will throw InvalidOperationException
* Fixes for example algorithms
Co-authored-by: Gerardo Salazar <gsalaz9800@gmail.com>
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
* Adds CustomBuyingPowerModelAlgorithm
This algorithms is an example on how to implement a custom buying power model.
In this particular case, it shows how to override `HasSufficientBuyingPowerForOrder` in order to place orders without sufficient buying power according to the default model.
* Upgrades CustomModelsAlgorithm to Include CustomBuyingPowerModel
The custom buying power model overrides `HasSufficientBuyingPowerForOrderResult` but it doesn't change the trades and, consequently, the regression statistics.
* Add underlying holdings to regression result handler details log
When debugging option exercise/assignment issues it's useful to see the
underlying holdings at the time the option contract fill event is processed.
Also adds the full symbol string to the top of the order event section.
The Symbol.Value was being logged via OrderEvent.ToString(), but it wasn't
the full SecurityIdentifier - by including the full SID string it makes it
easier to correlate fills over symbol rename boundaries.
* Fix automatic option assignment from market simulation
During the recent OptionExerciseOrder.Quantity refactor, this case was missed.
Additionally, it was realized that there were no regression tests covering the
automatic assignment via the market conditions simulation. This change introduces
a regression algorithm that covers the automatic assignment of put/call options.
* Update BasicOptionAssignmentSimulation._rand to be non-static
If this value is static then we reuse the same Random instance for ALL regression
tests, thereby defeating the purpose of using a well known seed number. This means
we get different results based on the order execution of preceding algorithms.
By making this an instance variable each algorithm will start with the same seed
value, ensuring consistent runs between regression tests, either run as a suite or
running a single algorithm in isolation.
* Do not update price scale for fillforward data
- Do no update price scale for fill forward data. FillForward data
should keep using the prev scale for which it was created. Adding unit tests
- When cloning do not lose IsFillForward flag state, affects
QuoteBars/Ticks, does not affect TradeBars since they perform a memberwise clone.
Adding unit tests
* Auxiliaries shouldn't really affect on applied price factor scale.
Despite we can receeive FillForward'ed data points, corresponding
Auxiliaries for them are not FillForward so we do meet the condition
and then refresh price factor. As a result all futher FF data points are scaled too.
* Regression algorithm to check that FillForward'ed data points arrived with last real price factor
* Add trade for regression algorithm
- Minot tweaks and adding trade for new regression algorithm.
- Updating AddOptionContractExpiresRegressionAlgorithm because it is
using the symbol for which new data was added.
Co-authored-by: Adalyat Nazirov <aenazirov@gmail.com>
* OptionChain and OptionContract improvements
- QCAlgorithm.AddUniverse will return the added Universe instance.
- Adding new OptionChainedUniverseSelectionModel will monitor a Universe changes
and will spwan new OptionChainUniverse from it's selections. Adding
regression test Py/C#.
- Adding new OptionContractUniverse that will own option contracts and
their underlying symbol. Adding regression test
- Fix double notification for security changes, bug seen in updated
UniverseSelectionRegressionAlgorithm
- Remove UniverseSelection special handling for Option and Future chains
- Fix DataManager not removing SubscriptionDataConfigs for Subscriptions
which finished before being removed from the universe
- Refactor detection of user added Universe so that they do not get
removed after calling the UniverseSelectionModel
* Add check for option underlying price is set
* Address reviews
- Adding python regression algorithm for
`AddOptionContractFromUniverseRegressionAlgorithm`
and `AddOptionContractExpiresRegressionAlgorithm`
- Rename QCAlgorithm new api method to `AddChainedOptionUniverse`
* Fix universe refresh bug
- Fix bug where a universe selection refresh would cause option or
future chain universes from being removed. Adding regression algorithm
reproducing the issue.
* Rename new option universe Algorithm API method
- Rename new option universe Algorith API method from
AddChainedOptionUniverse to AddUniverseOptions
- Rebase and update regression test order hash because of
option expiration message changed
* Fixes issue where BidPrice/AskPrice were not adjusted for Quote Ticks
* Previously, ticks would have their prices (Tick.Value) adjusted whenever
TickType == TickType.Quote, but would not have their
BidPrice/AskPrice fields adjusted, thus potentially being orders
of magnitude such as 4x from the actual Bid/Ask prices.
This commit applies the pricing scaling factor in a critical
path where Ticks are adjusted to their scaled price. This issue
only applied to Resolution.Tick && SecurityType.Equity data.
* Refactors Extensions Tick Scale extension method
* Adjusts unit test to dispose of resources and assert history count
* Replaces use of FileSystemDataFeed for NullDataFeed in Adjustment test
* Adds regression algorithm testing BidPrice & AskPrice adjustment
* Address review: remove SecurityType check on TickType.Trade adjustments
- `HistoryRequestFactory` will not sure extended market hours for hour
resolution when determining the start time using quantity of bars.
Adding regression test
* regression tests
* fix: apply the same time convertion to history request time as for data time
* ver2
* fixup
* unit tests
* do not need this conversion because RoundDownInTimeZone returns in proper TZ
* comment
* requested changes
* refactoring
* more refactoring
* fix existing test: should return Sunday if open
* more symbols
* fix existing tests: submit new btcusd data
* fix
* add Cfd symbol
* Calculate both raw and adjuasted prices for backtesting
* disable second price factoring
* move and reuse method
* test coverage for new methods
* reuse scaling method
* reuse subscriptionData.Create method
* removed unused code
* regression test
* switch to aapl
* fix regression test output
* more asserts
* fix comments - reduce shortcuts and abbrevation
* more comments
* merge parameters
* reduce number of getting price factors
* fix tests
* fix tests
* fix regression tests
* calculate TotalReturn on demand
* include TotalReturn calculations
* perf tuning
* more unit tests for SubscriptionData.Create
* simplify things - store and return only raw and precalculated data
* fix regression tests; change it back
* factor equals 1 for Raw data
* small changes
* follow code style
* implement backward compatibility
- Adding an example algorithm of a custom universe selection using
coarse data and adding tiingo news. If conditions are met will add the
underlying and trade it
- Adding required UniversePythonWrapper
This example shows how to create an EMA cross algorithm for a futures' front contract. Once the contract is added, the indicators are registered to a new consolidator and warmed up with historical data. When a contract is removed, the consolidator is removed and the indicators are reseted. We don't need to liquidate it, because it's liquidated automatically since it has expired.
This basic algorithm implements a `CustomPartialFillModel` class that chnages the behavior of the `FillModel.MarketFill` to simulate partially fill orders.
- Update regression algorithms stats after making SecurityCache ignore
QuoteBars for equity for OHCL values and GetLastData(). They were
affected since the `BenchmarkSecurity` used `.Price` which was QB for
equities. Order list hashes changed because SubmissionLastPrice will
now be TB instead of QB
- WarmupIndicator will be able to determine the correct type to use
- Fix bug in `History.GetMatchingSubscriptions()` which would use the
same TZ for exchange and data. Covered by regression algorithm.
- Consolidate will only infer `TickType` from `T` is not abstract
- Adding regression algorithm
- Slice will expose `Get(Type)` to get data by type, adding unit tests
- Fixes for C# RegisterIndicator API methods which were ignoring provided
type of T
- Fixes for Py RegisterIndicator API methods which was not using the
provided 'selector' method
- Adding C# and Py regression algorithm
Crypto and Equities will consolidate trades by default
Daily and hourly resolution will return only trades for crypto and equities.
Update equity TAQ regression test
Add minute sample files
Updating regression algorithms
Update SpotMarket test cases
Add regression test for equity trades and quotes
- History request.
- Trades and quotes pumped into OnData.
- Subscriptions are added correctly.
Add sample data
Checks low resolution only subscribes to trade bars
Implements `PortfolioBias` in EWPCM, CWPCM and IWPCM. With this new feature, these PCM will ignore insights that do not respect the desired bias. E.g. for `PortfolioBias.Long`, on Insights with `InsightDirection.Up` will be converted into `PortfolioTarget.Quantity` greater than zero and other `InsightDirection` will result in `PortfolioTarget.Quantity` of zero.
- Adding new `Func<DateTime, DateTime?>` that allows PCM to return null
if the next rebalance time is null, in which case the function will be
called again in the next loop.
- Adjusting PCM next rebalance time check to perform rebalance once the
time is reached
- Adding new regression test. Updating existing
- `FutureMarginModel` and `PatternDayTradingMarginModel` will adjust
margin requirements before market closes using the new `Exchange.ClosingSoon` property
- Adding unit tests and regression algorithm
* Refactors AlgorithmManager loop
* Refactors StatisticsBuilder methods and strategy for series alignment
* Move sampling logic to the corresponding IResultHandler
* Changes benchmark resolution to Resolution.Hour
* Modifies IResultHandler to enable external sampling
* Adds BacktestResultHandler unit tests
* Adds ResolutionSwitchingAlgorithm to test misalignment
* Adds support to AlgorithmRunner to store algorithm IResultHandler
Warning: this commit breaks accurate calculations for algorithms that
only make use of `Daily` resolution data. Previously, because
the benchmark was added in Daily resolution in backtesting, any
algorithm that only made use of daily data would have an accurate
calculation for beta and various other statistics.
These changes serve to fix the statistics calculations of non-daily
resolution algorithms, with daily resolution to be revisited at a later
time.
James Kardatzke